Conclusion
- If you'd like to do a bit more reading on GAs, there's the
GA Wiki
is reasonable. (It mentions John Holland whose GA class I took.)
- Holland's book "Adaptation in natural and artificial systems: an
introductory analysis with applications to biology, control, and
artificial intelligence" is good, and his student, Melanie Mitchell,
has a nice text "An introduction to genetic algorithms".
- Use google scholar and start from those, or just type in
genetic algorithms.
- Roman Belavkin (here at MDX) did some really good work on GAs
and mutation in antibiotic resistant bacteria (e.g. Mutation rate
plasticity in rifampicin resistance depends on Escherichia coli cell-cell
interactions ).
- Come get a BSc at Middlesex if you'd like to work with him.
- My work is in computational linguistics, and
- biological neural networks. I'm trying to figure out how we
(and mice) think with our neurons.
